Neural Modelling of a Yeast Fermentation Process Using Extreme Learning Machines
- 4 February 2016
- book chapter
- Published by Springer Nature
- p. 13-23
Abstract
No abstract availableKeywords
This publication has 12 references indexed in Scilit:
- A fuzzy–split range control system applied to a fermentation processBioresource Technology, 2013
- Bioreactor temperature profile controller using inverse neural network (INN) for production of ethanolJournal of Process Control, 2013
- Reinforcement learning control with adaptive gain for a Saccharomyces cerevisiae fermentation processApplied Soft Computing, 2011
- Extreme Learning Machine for Regression and Multiclass ClassificationIEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2011
- Online set-point optimisation cooperating with predictive control of a yeast fermentation process: A neural network approachEngineering Applications of Artificial Intelligence, 2011
- Modelling and nonlinear predictive control of a yeast fermentation biochemical reactor using neural networksChemical Engineering Journal, 2008
- Modern Computational Intelligence Methods for the Interpretation of Medical Images2008
- Model based control of a yeast fermentation bioreactor using optimally designed artificial neural networksChemical Engineering Journal, 2007
- Dynamic Neural and Fuzzy Models2001
- Pattern Recognition and Neural Networks1996